Designing for Humans

Menniti, Adrienne

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Designing for Humans

Abstract

The Water Research Foundation Project 5121 is titled Development of Innovative Predictive Control Strategies for Nutrient Removal is focused on developing and full-scale testing of a hybrid (machine learning + mechanistic model) nutrient management controller at four different WRRFs. The project team has named the controller ODIN: Operational Decision-making Information Network. The philosophy behind the ODIN User Interface is to make this tool easy to use for operations staff. To accomplish this objective, we’ve focused on two goals with the user interface design: 1. Keep the user priorities and mind set in mind at every step of the user interface design. 2. As engineers, we need to remember to keep the interface easily accessible and simple. Any new way of doing things must make the life of the operator better in some way. Without that, even the best ideas will likely fail at widespread adoption

A hybrid (machine learning + mechanistic modelling) controller developed through WRF5121 and named ODIN has been developed and is currently being tested at four different WRRFs. The philosophy behind the ODIN User Interface is to make this tool easy to use for operations staff. Every step of the user interface development process has kept user priorities and needs at the forefront. This paper reviews the ODIN approach to user interface development.

SpeakerMenniti, Adrienne

Presentation time

13:35:00

13:50:00

Session time

13:30:00

15:00:00

SessionApplications of Machine Learning in Full-Scale Nutrient Management Part I

Session locationRoom S504c - Level 5

TopicFacility Operations and Maintenance, Intelligent Water, Intermediate Level, Nutrients

Author(s)

Menniti, Adrienne